Research Group "Stochastic Algorithms and Nonparametric Statistics" > F10: Image and signal processing in the biomedical sciences > Publications

Matheon - F10: Image and signal processing in the biomedical sciences: diffusion weighted imaging - modeling and beyond

Monographs

  1. K. Tabelow and B. Whitcher (eds.) Magnetic Resonance Imaging in R Special Volume 44 of Journal of Statistical Software (2011).

Selection of Recent Publications

  1. K. Tabelow, J. Polzehl, Structural Adaptive Smoothing: Principles and Applications in "Mathematical Methods for Signal and Image Analysis and Representation" Florack, L. and Duits, R. and Jongbloed, G. and van Lieshout, M.-C. and Davies, L. (eds.), Springer (2012).
  2. K. Tabelow, H.U. Voss, J. Polzehl, Modeling the orientation distribution function by mixtures of angular central Gaussian distributions, Journal of Neuroscience Methods 203(1) 200-211 (2012).
  3. K. Tabelow, J.D. Clayden, P. Lafaye DE Micheaux, J. Polzehl, V.J. Schmid, B. Whitcher, Image analysis and statistical inference in neuroimaging with R, NeuroImage, 55 1686-1693 (2011).
  4. K. Tabelow, J. Polzehl, Statistical parametric maps for functional MRI experiments in R: The package fmri, J. Statist. Software, 44 1-21 (2011).
  5. J. Bardin, J. Fins, D. Katz, J. Hersh, L. Heier, K. Tabelow, J. Dyke, D. Ballon, N. Schiff, and H.U. Voss, Dissociations between behavioral and fMRI-based evaluations of cognitive function after brain injury, Brain, 134 769-782 (2011).
  6. J. Polzehl, K. Tabelow, Beyond the Gaussian model in diffussion-weighted imaging: The package dti, J. Statist. Software, 44, 1-26 (2011).
  7. J. Polzehl, K. Tabelow. Structural adaptive segmentation of statistical parametric mapping., NeuroImage 52(2), 515-523 (2010).
  8. J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R package dti., Journal of Statistical Software 31, 1-23 (2009).
  9. K. Tabelow, V. Piech, J. Polzehl, and H.U. Voss. High-resolution fMRI: Overcoming the signal-to-noise problem., Journal of Neuroscience Methods 178(2), 357-365 (2009)
  10. V. Katkovnik and V. Spokoiny. Spatially adaptive estimation via fitted local likelihood techniques. IEEE Transactions on Signal Processing 56(3) 873-886 (2008)
  11. K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Diffusion Tensor Imaging: Structural adaptive smoothing., NeuroImage 39(4), 1763-1773 (2008).
  12. K. Tabelow, J. Polzehl, A. M. Ulug, J. P. Dyke, R. Watts, L. A. Heier, and H. U. Voss. Accurate Localization of Brain Activity in Presurgical fMRI by Structure Adaptive Smoohting, IEEE Trans. Med. Imaging 27(4), 531-537 (2008).
  13. J. Polzehl, K. Tabelow. fmri: A package for analyzing fmri data, RNews 7(2) 13-17 (2007).
  14. H.U. Voss, K. Tabelow, J. Polzehl, O. Tchernichovski, K. Maul, D. Salgado-Commissariat, D. Ballon, and S.A. Helekar, Functional MRI of the zebra finch brain during song stimulation suggests a lateralized response topography, Proceedings of the National Academy of Sciences (PNAS) 104(25), 10667-10672 (2007).
  15. J. Polzehl, K. Tabelow. Adaptive smoothing of digital images: The R package adimpro., Journal of Statistical Software 19(1), (2007).
  16. D. Belomestny and V. Spokoiny. Spatial aggregation of local likelihood estimates with applications to classification. Annals of Statistics 25, 2287-2311 (2007).
  17. G. Blanchard, M. Kawanabe, M. Sugiyama, V. Spokoiny, and K.-R. Müller. In search of non-gaussian components of a high-dimensional distribution Journal of Machine Learning Research 7, 247-282 (2006)
  18. K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing procedures., NeuroImage 33(1), 55-62 (2006).
  19. J. Polzehl, and V. Spokoiny. Propagation-Separation Approach for Local Likelihood Estimation. Probab. Theory Related Fields 135:335-362 (2006)
  20. Goldenshluger, A. and Spokoiny, V. Recovering edges of an image from noisy tomographic data, IEEE Transactions on Information Theory, 52: 1322-1334 (2006).
  21. A. Goldenshluger and V. Spokoiny. On the shape-from-moments problem and recovering edges from noisy Radon data. Probab. Theory Related Fields, 128:123-140 (2004).
  22. J. Polzehl and V. Spokoiny. Functional and dynamic magnetic resonance using vector adaptive weights smoothing. J. Roy. Statist. Soc. Ser. C, 50:485-501 (2001).
  23. J. Polzehl and V. Spokoiny. Adaptive Weights Smoothing with applications to image restoration. J. Roy. Statist. Soc. Ser. B 62:335-354 (2000).

Selection of Recent Preprints

  1. A. Goldenshluger and V. Spokoiny. Recovering edges of an image from noisy tomographic data. WIAS-Preprint No. 909 (2004).
  2. J. Polzehl and V. Spokoiny. Varying coefficient regression modeling by adaptive weights smoothing. Matheon-Preprint No. 83 (2004).
  3. J. Polzehl, and V. Spokoiny. Spatially adaptive regression estimation: Propagation-separation approach. Matheon-Preprint No. 218 (2005).
  4. K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing procedures. WIAS-Preprint No. 1079 (2005).
  5. K. Tabelow, J. Polzehl, A.M. Ulug, J.P. Dyke, R. Watts, L.A. Heier, H.U. Voss. Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing. WIAS-Preprint No. 1119 (2006).
  6. J. Polzehl, K. Tabelow. Analyzing fMRI experiments with the fmri package in R. Version 1.0 - A users guide. WIAS-Technical Report No. 10 (2006)
  7. K. Tabelow, J. Polzehl. Adaptive smoothing of digital images: The R package adimpro. WIAS-Preprint No. 1177 (2006).
  8. K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss. Diffusion Tensor Imaging: Structural adaptive smoothing. WIAS-Preprint No. 1232 (2007).
  9. K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss. High-resolution fMRI: Overcoming the Signal-To-Noise Problem. WIAS-Preprint No. 1353 (2008).
  10. J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R package dti. WIAS-Preprint No. 1382 (2008).
  11. J. Polzehl, K. Tabelow. Structural adaptive smoothing: Principles and applications in imaging. WIAS-Preprint No. 1412 (2009).
  12. J. Polzehl, K. Tabelow. Structural adaptive segmentation of statistical parametric mapping. WIAS-Preprint No. 1484 (2010).
  13. K. Tabelow, H.U. Voss, J. Polzehl. Modeling the orientation distribution function by mixtures of angular central Gaussian distributions. WIAS-Preprint No. 1559 (2010).
  14. S. Becker, K. Tabelow, H.U. Voss, A. Anwander, R.M. Heidemann, J. Polzehl, Position-orientation adaptive smoothing of diffusion weighted magnetic resonance data (POAS), WIAS-Preprint No. 1668, (2011).

Selection of recent Talks

  1. K. Tabelow. Spatially adaptive smoothing in fMRI analysis. NeuroImaging Center, Charite, Berlin, Nov 10, 2005
  2. K. Tabelow. Detecting shape and borders of activation areas in fMRI data, WIAS Berlin, Nov 23, 2005
  3. K. Tabelow. Adaptive weights smoothing in the analysis of fMRI data, LMU Munich, SfB 386, Dec 8, 2005
  4. K. Tabelow. Den Gedanken auf der Spur, Lange Nacht der Wissenschaften, WIAS Berlin, May 13, 2006
  5. K. Tabelow. Analyzing fMRI experiments with structural adaptive smoothing methods, BCCN PhD/PostDoc Symposium, Liebenwalde, June 8, 2006
  6. K. Tabelow. Structural adaptive smoothing in medical imaging, Seminar "Visualisierung und Datenanalyse" ZIB , Berlin, January 30, 2007
  7. K. Tabelow. Structural adaptive smoothing in medical imaging, WIAS-Day 2007, WIAS , Berlin, February 22, 2007
  8. K. Tabelow. Structural adaptive signal detection in fMRI and structure enhancement in DTI, International Workshop on Image Analysis in the Life Sciences , Linz Austria, March 2, 2007
  9. K. Tabelow. Structural adaptive smoothing in medical imaging, Sitzung des wissenschaftlichen Beirates, WIAS , Berlin, March 16, 2007
  10. K. Tabelow. Den Gedanken auf der Spur - Bildgebende Verfahren in der Hirnforschung, Tag der Mathematik 2007, Berlin, May 5, 2007
  11. K. Tabelow. Structural Adaptive Smoothing Magnetic Resonance Data - Part II: Diffusion Tensor Imaging, Seminar "Modern Methods in Applied Stochastics and Nonparametric Statistics", WIAS , Berlin, May 15, 2007
  12. K. Tabelow. Improving data quality in fMRI and DTI by structural adaptive smoothing, Research Seminar, Biomedical Imaging Center, Weill Medical College of Cornell University, New York, June 18, 2007
  13. K. Tabelow. Den Gedanken auf der Spur - Bildgebende Verfahren in der Hirnforschung, MATHEredaktiON, WIAS Berlin, September 18, 2007
  14. K. Tabelow. Den Gedanken auf der Spur - Bildgebende Verfahren in der Hirnforschung, Schüler-Technik-Tage, WIAS Berlin, October 10, 2007
  15. K. Tabelow. Statistische Verfahren in der Hirnforschung, Schülertag, WIAS Berlin, April 18, 2008
  16. K. Tabelow. Strukturadaptive Bild- und Signalverarbeitung, Joint Workshop Siemens Healthcare / MATHEON, TU Berlin, July 8, 2008
  17. K. Tabelow. Den Gedanken auf der Spur - Bildgebende Verfahren in der Hirnforschung, Schülerseminar, HU Berlin, November 11, 2008
  18. K. Tabelow. Structural adaptive smoothing in fMRI and DTI, Workshop BCCN on recent developments in fMRI analysis methods, Berlin, Jamuary 23, 2009
  19. K. Tabelow. A3 - Image and signal processing in medicine and biosciences, A-Day, ZIB, Berlin, December 5, 2007
  20. K. Tabelow. Magnetresonanztomographie: EinBlick in Funktionalität und Anatomie des Gehirns, Tag der Mathematik HU Berlin, April 25, 2009
  21. K. Tabelow. Structural adaptive methods in fMRI and DTI, BIG APPLE lecture series, Weill Cornell Medical College (New York), June 25, 2009
  22. K. Tabelow. Structural adaptive methods in fMRI and DTI, FMRI-Lab sponsored lecture series, Memorial Sloan-Kettering Cancer Center (New York), June 25, 2009
  23. K. Tabelow. Structural adaptive methods in fMRI and DTI, FMRI-Lab sponsored lecture series, Memorial Sloan-Kettering Cancer CenterWorkshop on Novel Reconstruction Methods in NMR and MRI (Göttingen), September 11, 2010
  24. K. Tabelow. Geschärfte Blicke in das Gehirn, MathInside , Urania Berlin, January 18 2011
  25. K. Tabelow. Structural adaptive smoothing fMRI and DTI data, SFB Research Center ``Mathematical Optimization and Applications in Biomedical Sciences'', Karl-Franzens-Universität Graz, June 8, 2011
  26. K. Tabelow. Modeling the orientation distribution function by mixtures of angular central Gaussian distributions
  27. , Cornell University New York, Weill Medical College, USA, June 23, 2011
  28. K. Tabelow. Functional MRI using fmri
  29. , The R User Conference 2011, Coventry, UK, August 15, 2011
  30. K. Tabelow. Diffusion weighted imaging (DTI and beyond) using dti
  31. , The R User Conference 2011, Coventry, UK, August 15, 2011
  32. K. Tabelow. Statistical parametric maps for functional MRI experiments in R: The package fmri
  33. , The R User Conference 2011, Coventry, UK, August 18, 2011
  34. K. Tabelow. Geschärfte Blicke in das Gehirn, Festveranstaltung zum 50j√§hrigen Jubiläum , Heinrich-Hertz Gymnasium Berlin , September 23 2011
  35. K. Tabelow. Structural adaptive smoothing fMRI and DTI data
  36. University Maastricht September 28, 2011.
  37. K. Tabelow. Mathematik in der Gehirnforschung - Von der Formel zur Erkenntnis , MATHEON Reihe "Mathematik und Gesundheit", Urania Berlin, September 26, 2011
  38. J. Polzehl. Adaptive smoothing by propagation-separation, Australian National University, Center of Mathematics and its Applications, March 31, 2005.
  39. J. Polzehl. Image reconstruction and edge enhancement by structural adaptive smoothing, 55th Session of the International Statistical Institute (ISI), April 8, 2005.
  40. J. Polzehl. Propagation-separation at work: Main ideas and applications, National University of Singapore, Department of Probability Theory and Statistics, March 24, 2005.
  41. J. Polzehl. Spatially adaptive smoothing: A propagation-separation approach for imaging problems, Joint Statistical Meetings, August 11, 2005.
  42. J. Polzehl. Structural adaptive smoothing by propagation-separation methods, Ludwig-Maximilians-Universität München, SFB 386, December 07, 2005.
  43. J. Polzehl. Statistische Verfahren zur Bildrekonstruktion und Signalerkennung in Bildzeitreihen, Philips GmbH, Medizintechnik, December 15, 2006.
  44. J. Polzehl. Statistische Verfahren, Bildrekonstruktion und Signalerkennung in Bildzeitreihen, November 16, 2006.
  45. J. Polzehl. Structural adaptive smoothing by propagation-separation, 69th Annual Meeting of the IMS and 5th International Symposium on Probability and its Applications, July, 30, 2006.
  46. J. Polzehl. Propagation-separation procedures for image processing, International Workshop on Image Analysis in the Life Sciences, Theory and Applications, Johannes Kepler Universität Linz, March 2, 2007.
  47. J. Polzehl. Structural Adaptive Smoothing Magnetic Resonance Data - Part I/II; Part I: Funtional Magnetic Resonance Imaging, Seminar ``Modern Methods in Applied Stochastics and Nonparametric Statistics'', WIAS Berlin, May, 8, 2007.
  48. J. Polzehl. Structural adaptive smoothing in imaging problems, Spring Seminar Series, University of Minnesota, School of Statistics, College of Liberal Arts, May, 24, 2007.
  49. J. Polzehl. Structural adaptive smoothing methods, Gemeinsames Kolloquium des Fachbereichs Statistik und des SFB 475, Universität Dortmund, January 30, 2007.
  50. J. Polzehl. Structural adaptive smoothing methods and related topics, Kick-off Meeting eVITA project, February 15, 2007.
  51. J. Polzehl. Structural adaptive smoothing procedures by propagation-separation methods, Final meeting of the DFG Priority Program 1114, November 7, 2007.
  52. J. Polzehl. Structural adaptive smoothing: Images, fMRI and DWI, Workshop on Algorithms in Complex Systems, EURANDOM, September 24, 2007.
  53. J. Polzehl. New developments in structural adaptive smoothing: Images, fMRI and DWI, University of Tromsoe, May 27, 2008.
  54. J. Polzehl. Smoothing fMRI and DWI data using the propagation-separation approach, University of Utah, Computing and Scientific Imaging Institute, September 11, 2008.
  55. J. Polzehl. Structural adaptive smoothing in diffusion tensor imaging, Workshop on ``Locally Adaptive Filters in Signal and Image Processing'', EURANDOM, November 25, 2008.
  56. J. Polzehl. Structural adaptive smoothing using the propagation-separation approach, University of Chicago, Department of Statistics, September 3, 2008.
  57. J. Polzehl. Sequential multiscale procedures for adaptive estimation, 1st IMS Asia Pacific Rim Meeting (2009/07/01), Seoul, ROC, July 1, 2009
  58. J. Polzehl. Statistical problems in functional and diffusion weighted magnetic resonance, Graduate School in Mathematics and Computing, Uppsala University, Dept. of Mathematics, May 27, 2010
  59. J. Polzehl. Medical image analysis for structural and functional MRI, The R User Conference 2010, (2010 July 20-23), NIST, Gaithersburg, USA, July 20, 2010.
  60. J. Polzehl. Statistical issues in accessing brain functionality and anatomy, The R User Conference 2010, (2010 July 20-23), NIST, Gaithersburg, USA, July 22, 2010.
  61. J. Polzehl. Structural adaptive smoothing in neuroscience applications, Statistische Woche Nürnberg 2010, September 14-17, 2010, Friedrich-Alexander-Universität Erlangen-Nürnberg, Naturwissenschaftliche Fakultät, September 16, 2010.
  62. J. Polzehl. Statistical issues in modeling diffusion weighted magnetic resonance data
  63. , Conference on Statistics and Probability 2011 (IMS-China), Xian, China, July 7, 2011
  64. J. Polzehl. Modeling the orientation distribution function by mixtures of angular central Gaussian distributions
  65. , Workshop on Statistics and Neuroimaging 2011, Berlin, November 24, 2011

Extended abstracts

  1. K. Tabelow, J. Polzehl, V. Spokoiny, L.A. Heier, and H.U. Voss. Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing. Proc. of the 14th Scientific Meeting of ISMRM, 2006
  2. K. Tabelow, J. Polzehl, V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing methods. Proc. of the Human Brain Mapping 2006. NeuroImage 31/S1 (2006).
  3. K. Tabelow, J. Polzehl, H.U. Voss. Increasing SNR in high resolution fMRI by spatially adaptive smoothing. Proc. of the Human Brain Mapping. NeuroImage 36/S1 (2007).
  4. K. Tabelow, J. Polzehl, H.U. Voss. Reducing the number of necessary diffusion gradients by adaptive smoothing. Proc. of the Human Brain Mapping. NeuroImage 36/S1 (2007).
  5. J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R-package dti. Proc. of the Human Brain Mapping. NeuroImage 47/S1 (2009).
  6. K. Tabelow, H.U. Voss, J. Polzehl. Structural adaptive smoothing methods for high-resolution fRMI. Proc. of the Human Brain Mapping. NeuroImage 47/S1 (2009).
  7. K. Tabelow, J. Polzehl, S. Mohammadi, M. Deppe. Impact of smoothing on the interpretation of FA maps. Proc. of the Human Brain Mapping 2010. NeuroImage (2010).
  8. K. Tabelow, J. Clayden, P. Lafaye de Micheaux, J. Polzehl, V. Schmid, B. Whitcher. Image analysis and statistical inference in NeuroImaging with R. Proc. of the Human Brain Mapping 2010. NeuroImage (2010).
  9. K. Tabelow, H.U. Voss, J. Polzehl Structural Adaptive Smoothing Methods for fMRI and its Implementation in R Proc. of the Human Brain Mapping 2011
  10. K. Tabelow, B. Whitcher, J. Polzehl Performing Tasks in Medical Imaging with R Proc. of the Human Brain Mapping 2011
  11. K. Tabelow, H.U. Voss, J. Polzehl Package dti: A Framework for HARDI-Modeling in R Proc. of the Human Brain Mapping 2011
  12. K. Tabelow, S. Keller, S. Mohammadi, H. Kugel, J.-S. Gerdes, J. Polzehl, M. Deppe Structural Adaptive Smoothing Increases Sensitivity of DTI to Detect Microstructure Alterations Proc. of the Human Brain Mapping 2011

Poster

  • J. Polzehl and K. Tabelow, Structure adaptive smoothing procedures in medical imaging Poster at the "19. Treffpunkt Medizintechnik", June 1, 2005, Berlin.
  • K. Tabelow, J. Polzehl, and V. Spokoiny. Image and signal processing in medicine and biosciences Poster at the MATHEON evaluation, Jan. 24, 2006, Berlin.
  • K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Structure adaptive smoothing in statistical fMRI analysis Poster at the 214. PTB-Seminar "High-field MR imaging and spectroscopy - 3 T and beyond.", Feb 20./21., 2006, Berlin.
  • K. Tabelow, J. Polzehl, V. Spokoiny, L.A. Heier, and H.U. Voss. Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing. Poster at the 14th Scientific Meeting of ISMRM, Seattle 2006, presented by H.U. Voss.
  • K. Tabelow, J. Polzehl, H.U. Voss, V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing methods. Poster at the Human Brain Mapping 2006, 11.-15. June 2006, Firenze (Italy).
  • K. Tabelow, J. Polzehl, H.U. Voss. Increasing SNR in high resolution fMRI by spatially adaptive smoothing. Poster at the Human Brain Mapping 2007, 10.-14. June 2007, Chicago (USA).
  • K. Tabelow, J. Polzehl, H.U. Voss. Reducing the number of necessary diffusion gradients by adaptive smoothing. Poster at the Human Brain Mapping 2007, 10.-14. June 2007, Chicago (USA).
  • J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R-package dti. Poster at the Human Brain Mapping 2009, 18.-23. June 2009, San Francisco (USA).
  • K. Tabelow, H.U. Voss, J. Polzehl. Structural adaptive smoothing methods for high-resolution fRMI. Poster at the Human Brain Mapping 2009, 18.-23. June 2009, San Francisco (USA).
  • J. Polzehl, K. Tabelow. Image and signal processing in the biomedical sciences: diffusion weighted imaging. Poster at the 1st Annual Scientific Symposium on Ultrahigh Field MR 2010, 16. April 2010, Berlin (Germany).
  • K. Tabelow, J. Polzehl, S. Mohammadi, M. Deppe. Impact of smoothing on the interpretation of FA maps. Poster at the Human Brain Mapping 2010, 6.-10. June 2010 (Barcelona, Spain).
  • K. Tabelow, J. Clayden, P. Lafaye de Micheaux, J. Polzehl, V. Schmid, B. Whitcher. Image analysis and statistical inference in NeuroImaging with R. Poster at the Human Brain Mapping 2010, 6.-10. June 2010 (Barcelona, Spain)..
  • K. Tabelow, H.U. Voss, J. Polzehl Structural Adaptive Smoothing Methods for fMRI and its Implementation in R Poster at the Human Brain Mapping 2011, 26.-30. June 2011 (Québec, Canada).
  • K. Tabelow, B. Whitcher, J. Polzehl Performing Tasks in Medical Imaging with R Poster at the Human Brain Mapping 2011, 26.-30. June 2011 (Québec, Canada).
  • K. Tabelow, H.U. Voss, J. Polzehl Package dti: A Framework for HARDI-Modeling in R Poster at the Human Brain Mapping 2011, 26.-30. June 2011 (Québec, Canada).
  • K. Tabelow, S. Keller, S. Mohammadi, H. Kugel, J.-S. Gerdes, J. Polzehl, M. Deppe Structural Adaptive Smoothing Increases Sensitivity of DTI to Detect Microstructure Alterations Poster at the Human Brain Mapping 2011, 26.-30. June 2011 (Québec, Canada).

last reviewed: Jan 26, 2012, K. Tabelow